Call Details
Bolna ID:
2567bd71-2779-48cc-a7ae-6b9c4f3969c0
Phone: +919820959879
From: +918035316264
Status: failed
Processing: FAILED
Duration: N/A
Cost: N/A
Hangup Details
Hangup By: Carrier
Reason: Call recipient was busy
Timestamps
Started:
2025-10-13 14:17:08
Ended:
Not set
Last Processed:
Not set
Last Retry At:
Not set
Next Retry Scheduled:
2025-10-13 14:28:37
Next Call Scheduled:
2025-10-13 14:28:37
Call Timeline 14
Call History (Raw Callbacks) 9
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Introducing dynamic verbs is recommended., scale=100, quantifyingImpact=While some sections mention research papers, specific quantifiable achievements are infrequently present. Adding metrics where possible would strengthen the impact., repetitionAvoidance=A moderate level of repetition exists, particularly in descriptors like 'customized high-quality plans,' which could be varied for improved engagement. Greater diversification of verbs and phrases would avoid monotony., accomplishmentLanguage=The descriptions contain some accomplishment-driven language, but often lack end results. Enhance statements with the outcome or impact of your actions for stronger accomplishment focus.}, crispness={feedback=While containing valuable information, some sections exceed recommended length, impacting conciseness. Refining bullet point length and reducing filler content is advised., resumeLength=The current length appears extended due to excess detail in some sections, especially older positions. A more concise summary of earlier roles would benefit overall readability., score=58, bulletPointsCount=There is a high density of bullet points, signifying depth but occasionally lacking brevity. Limit bullet points to key achievements to maintain a sharp focus on impressive contributions., fillerWords=Some sections include filler phrases, which could be streamlined. Focus on precise language to ensure that every word adds value., bulletPointLength=Several bullet points are overly long, which can obscure key information. Aim to condense each point to essential details to enhance clarity and impact., scale=100}, qualityAddOn={feedback=The language remains professional with minimal clichés, yet more vivid examples can replace vague buzzwords. Consistent date formatting and minimal use of personal pronouns are positive points., score=63, buzzwordsCliches=While generally professional, it occasionally lapses into buzzwords such as 'team player'. Replace with concrete examples of teamwork successes to add substance., datesFormatting=Date formatting remains mostly consistent which aids clarity and presentation. Maintain uniformity to enhance professional appearance., activeVoice=Active voice is predominantly used, which positively impacts engagement and clarity. Strive for consistent application for maximum impact., scale=100, personalPronounsUsage=There is no misuse of personal pronouns throughout the document, which strengthens professionalism. Continue to avoid their use to maintain formality.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T08:47:15.181881, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 08:47:15, id=2567bd71-2779-48cc-a7ae-6b9c4f3969c0, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-13 08:47:09, status=ringing}
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However, adjusting the Experience section to reverse chronological order could enhance immediate relevance., score=69, readability=The use of font and spacing aids readability, but aligning dates and employers consistently would improve clarity. Minimal formatting inconsistencies exist, which somewhat hinder seamless readability., essentialSectionsPresence=The essential sections like Experience, Education, and Professional Summary are present and effectively organized. However, sections like "Corporate Experience" and "Personal Details" could be trimmed or moved towards the end., scale=100}, atsReadabilityScore={feedback=The resume's content is structured in a way that supports ATS scanning, but some improvements in keyword usage could enhance visibility. Ensure prominent keywords appear naturally across sections., score=66, scale=100, keyElementsReadableByATS=Key information such as contact details and roles appear well-structured for ATS compatibility. 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Continue to avoid their use to maintain formality.}}}, parentBolnaId=null, attemptType=null}, resume_review_id=null}, extracted_data=null, arq_job_id=null, transcript=null, updated_at=2025-10-13T08:47:12.490397, answered_by_voice_mail=null, batch_run_details=null, provider=plivo, updated_at_str=2025-10-13 08:47:12, id=2567bd71-2779-48cc-a7ae-6b9c4f3969c0, campaign_id=null, summary=null, error_message=null, rescheduled_at_str=null, agent_extraction=null, transfer_call_data=null, parsedAgentExtraction=null, smart_status=null, conversation_duration=0.0, usage_breakdown={transcriber_usage_breakdown={transcriber_duration=0, provider_connected=false}, transcriber_duration=0, transcriber_model=nova-3, synthesizer_characters=18, synthesizer_usage_breakdown={provider_connected=false, conversation_characters=0, welcome_message_cache=false, welcome_message_characters=18}, transcriber_provider=deepgram, synthesizer_model=eleven_turbo_v2_5, llmModel={azure_gpt-4_1-mini={output=0, input=0}}, llmTokens=0, llm_usage_breakdown={analytics=null, summarization=null, extraction=null, conversation={output=0, input=0, provider_connected=false, provider=azure, model=azure/gpt-4.1-mini}, hangup=null}, synthesizer_provider=elevenlabs}, workflow_retries=null, rescheduled_at=null, scheduled_at_str=2025-10-13 08:47:09, status=initiated}